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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Cloud Computing and Resource Management
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
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venuejournal
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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,591 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,591 works in the cohort · of 4,299,418page 24 of 32

Labels cover 1 of 1,591 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 1,591 of 1,591 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
RPC automation: making legacy code relevant
Andreas Bergen, Yağız Onat Yazır, Hausi Müller, Yvonne Coady
2013· article· en· Software Engineering for Adaptive and Self-Managing Systems· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
The 7th CASCON workshop on cloud computing
Marin Litoiu, Joe Wigglesworth
2015· article· en· Computer Science and Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
A Cloud-based Multimedia Function
Jean‐Charles Grégoire, Mohamed Amziab
2014· article· en· International Conference on Networking and Services· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
A Double Auction VM Migration Approach
Jinjin Wang, Yonglong Zhang, Junwu Zhu, Yi Jiang
2019· book-chapter· en· EAI/Springer Innovations in Communication and Computing· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Octopus
Svitlana Tumanova, Olga Irzak, Lili Sun, Shiri Margel, Eyal de Lara
2013· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
Distributed Public Cloud on Low Power Devices
Stoyan Cheresharov, Georgi Gustinov, Stanka Hadzikoleva, Emil Hadzikolev
2020· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Peachy Parallel Assignments (EduHPC 2023)
H. Martin Bücker, Jeremiah Corrado, Danila Fedorin, D. Garcia-Alvarez, Arturo González-Escribano, John Li +11 more
2023· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affno abstractunlabeled
Big Data and Cloud Computing
Neelanarayanan Venkataraman, Lipo Wang, Xavier Fernando, Ahmed F. Zobaa
2023· book· en· Lecture notes in electrical engineering· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
System Level Benchmarks for the Cloud
Sanjay Ahuja
2015· article· en· Computer and Information Science· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Exploratory Analysis of Aggregate Power Metrics in Data Centers
Manish Marwah, Martin Arlitt, Christopher Hoover, Cullen Bash, Ratnesh Sharma
2010· article· en· Volume 5: Energy Systems Analysis, Thermodynamics and Sustainability; NanoEngineering for Energy; Engineering to Address Climate Change, Parts A and B· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Anne of Green Gables
2021· article· en· DigitalCommons-Cedarville (Cedarville University)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

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